Rainfall Observation System using Automotive Radar Sensor for ADAS based Driving Safety

Autor: In Taek Jung, Sanghun Lim, Hong Ki Sung, Kyu Soo Chong, Bong-Joo Jang
Rok vydání: 2019
Předmět:
Zdroj: ITSC
DOI: 10.1109/itsc.2019.8917080
Popis: Until now, studies on ensuring the safety of autonomous vehicles have been undergoing many trials and errors. Especially, the environmental analysis for autonomous driving in bad weather conditions such as snow, rain, fog, etc. has many problems due to the observation limit of the autonomous sensor equipment. In this paper, we propose a system for estimating precipitation information using radar sensor data, which is one of the important factors of the driving environment. The method consists of a filtering method to remove objects and a rainfall detection technology by estimating qualitative rainfall intensity. Test results in real driving and rain conditions confirm that the proposed system is working properly.
Databáze: OpenAIRE